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      Prevalence of Burnout Among Physicians : A Systematic Review

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Burnout is a self-reported job-related syndrome increasingly recognized as a critical factor affecting physicians and their patients. An accurate estimate of burnout prevalence among physicians would have important health policy implications, but the overall prevalence is unknown.

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          Prevalence of Depression and Depressive Symptoms Among Resident Physicians: A Systematic Review and Meta-analysis.

          Douglas Mata, Marco Ramos‐Corrales, Narinder Bansal … (2015)
          Physicians in training are at high risk for depression. However, the estimated prevalence of this disorder varies substantially between studies.
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            Association of resident fatigue and distress with perceived medical errors.

            Colin P. West (2009)
            Fatigue and distress have been separately shown to be associated with medical errors. The contribution of each factor when assessed simultaneously is unknown. To determine the association of fatigue and distress with self-perceived major medical errors among resident physicians using validated metrics. Prospective longitudinal cohort study of categorical and preliminary internal medicine residents at Mayo Clinic, Rochester, Minnesota. Data were provided by 380 of 430 eligible residents (88.3%). Participants began training from 2003 to 2008 and completed surveys quarterly through February 2009. Surveys included self-assessment of medical errors, linear analog self-assessment of overall quality of life (QOL) and fatigue, the Maslach Burnout Inventory, the PRIME-MD depression screening instrument, and the Epworth Sleepiness Scale. Frequency of self-perceived, self-defined major medical errors was recorded. Associations of fatigue, QOL, burnout, and symptoms of depression with a subsequently reported major medical error were determined using generalized estimating equations for repeated measures. The mean response rate to individual surveys was 67.5%. Of the 356 participants providing error data (93.7%), 139 (39%) reported making at least 1 major medical error during the study period. In univariate analyses, there was an association of subsequent self-reported error with the Epworth Sleepiness Scale score (odds ratio [OR], 1.10 per unit increase; 95% confidence interval [CI], 1.03-1.16; P = .002) and fatigue score (OR, 1.14 per unit increase; 95% CI, 1.08-1.21; P < .001). Subsequent error was also associated with burnout (ORs per 1-unit change: depersonalization OR, 1.09; 95% CI, 1.05-1.12; P < .001; emotional exhaustion OR, 1.06; 95% CI, 1.04-1.08; P < .001; lower personal accomplishment OR, 0.94; 95% CI, 0.92-0.97; P < .001), a positive depression screen (OR, 2.56; 95% CI, 1.76-3.72; P < .001), and overall QOL (OR, 0.84 per unit increase; 95% CI, 0.79-0.91; P < .001). Fatigue and distress variables remained statistically significant when modeled together with little change in the point estimates of effect. Sleepiness and distress, when modeled together, showed little change in point estimates of effect, but sleepiness no longer had a statistically significant association with errors when adjusted for burnout or depression. Among internal medicine residents, higher levels of fatigue and distress are independently associated with self-perceived medical errors.
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              Using a single item to measure burnout in primary care staff: a psychometric evaluation.

              Emily D Dolan, David W. Mohr, Michele Lempa … (2015)
              Burnout affects nearly half of all U.S. nurses and physicians, and has been linked to poor outcomes such as worse patient safety. The most common measure of burnout is the well-validated Maslach Burnout Inventory (MBI). However, the MBI is proprietary and carries licensing fees, posing challenges to routine or repeated assessment.
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                Author and article information

                Journal
                Title: JAMA
                Abbreviated Title: JAMA
                Publisher: American Medical Association (AMA)
                ISSN (Print): 0098-7484
                Publication date Created: September 18 2018
                Publication date (Print): September 18 2018
                Volume: 320
                Issue: 11
                Page: 1131
                Affiliations
                [1 ]Harvard Medical School, Boston, Massachusetts
                [2 ]Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
                [3 ]Brigham Education Institute, Boston, Massachusetts
                [4 ]Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
                [5 ]Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
                [6 ]Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts
                [7 ]Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
                [8 ]Molecular and Behavioral Neuroscience Institute and Department of Psychiatry, University of Michigan, Ann Arbor
                [9 ]Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
                Article
                DOI: 10.1001/jama.2018.12777
                PMC ID: 6233645
                PubMed ID: 30326495
                SO-VID: e9cedef3-96cc-4e90-932d-fc1d4a5a8bfd
                Copyright © © 2018
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